Minimalization of Ash from Iranian Gilsonite by Froth Flotation

Doodran, Ramona Javadi; Khakmardan, Shayan; Ширази, Ареф; Shirazy, Adel

doi:10.4236/jmmce.2021.91001

Cited by 15 publications

(13 citation statements)

References 24 publications

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“…Lower residual values indicate a better prognosis. A good correlation coefficient is used to validate a good multivariate linear relationship [27][28][29]. In this study, SPSS 16 software was used to determine the unknown regression coefficients.…”

Section: Cu Estimate Using Spss Softwarementioning

confidence: 99%

Predict the amount of Cu using the four Ca, Al, P, S Elements by Multiple Linear Regression Method

Nazerian¹

2021

IJRASET

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The study area is located in Sarbisheh city in South Khorasan province, Iran. Copper estimation was performed by multivariate linear regression method to facilitate the use of previous analyses to predict this element in other areas, reduce costs and also reduce the number of samples. For this purpose, by obtaining a basic formula from estimating the amount of Cu with one of the promising points samples, the amount of copper in other parts of the exploration area was investigated. Several analyses were taken from the exploratory area after calculations to validate the regression. The regression results of new and old data were compared and estimation acceptable. These calculations were performed by SPSS software, according to the four elements Ca, Al, P, S, the results obtained and the relationship presented has acceptable validity. Keywords: Multivariate linear regression, Cu estimation, SPSS, Iran.

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Section: Cu Estimate Using Spss Softwarementioning

confidence: 99%

Predict the amount of Cu using the four Ca, Al, P, S Elements by Multiple Linear Regression Method

Nazerian¹

2021

IJRASET

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“…One of these applications is using in carbonate reservoirs. One of the most important parameters in reservoir, is fluid saturation [14][15][16][17] which can be studied by geophysical methods and well-logging [18,19]. Several formulas are given for saturation calculation.…”

Section: Introductionmentioning

confidence: 99%

Determination of Archie’s Tortuosity Factor from Stoneley Waves in Carbonate Reservoirs

Khayer¹,

Shirazy²,

Ширази³

et al. 2021

IJSEA

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One of the fundamental equations in calculate the saturation of fluid in hydrocarbon reservoirs is the Archie’s equation. In addition to the parameters measured by well logging such as porosity and resistivity, there are others parameters that called Archie’s coefficients. Archie provides constant values for this coefficient base on experimental core’s data, accordance with saturation formula in sandstone. In carbonate reservoirs nevertheless the sandstone reservoirs, high heterogeneity, variety in lithology and texture, shape and distribution of pores, due to this coefficient is not constant. So, variation of tortuosity as a coefficient that depends on the way correlation between pores, is high and considering a constant value due to error in calculation of fluid saturation. In this study, with the stoneley waves measured from DSI tools and required calculation, the value of tortuosity coefficient calculated continuously in well no.10 Darkhovin field. The regression of calculated values with the core data is 83.16 percent, that showed this method is useable for calculation the tortuosity.

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“…Because in order to go to the next stages of exploration, the feasibility of mineral processing must be done to be economical [17] [18] [19] [20]. During the life cycle of a mine, which begins with exploration and ends with reconstruction, various studies are performed.…”

Section: Introductionmentioning

confidence: 99%

Geophysical Study: Estimation of Deposit Depth Using Gravimetric Data and Euler Method (Jalalabad Iron Mine, Kerman Province of IRAN)

Shirazy¹,

Ширази²,

Nazerian³

et al. 2021

OJG

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Mineral exploration is done by different methods. Geophysical and geochemical studies are two powerful tools in this field. In integrated studies, the results of each study are used to determine the location of the drilling boreholes. The purpose of this study is to use field geophysics to calculate the depth of mineral reserve. The study area is located 38 km from Zarand city called Jalalabad iron mine. In this study, gravimetric data were measured and mineral depth was calculated using the Euler method. 1314 readings have been performed in this area. The rocks of the region include volcanic and sedimentary. The source of the mineralization in the area is hydrothermal processes. After gravity measuring in the region, the data were corrected, then various methods such as anomalous map remaining in levels one and two, upward expansion, first and second-degree vertical derivatives, analytical method, and analytical signal were drawn, and finally, the depth of the deposit was estimated by Euler method. As a result, the depth of the mineral deposit was calculated to be between 20 and 30 meters on average.

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Minimalization of Ash from Iranian Gilsonite by Froth Flotation

Cited by 15 publications

References 24 publications

Predict the amount of Cu using the four Ca, Al, P, S Elements by Multiple Linear Regression Method

Predict the amount of Cu using the four Ca, Al, P, S Elements by Multiple Linear Regression Method

Determination of Archie’s Tortuosity Factor from Stoneley Waves in Carbonate Reservoirs

Geophysical Study: Estimation of Deposit Depth Using Gravimetric Data and Euler Method (Jalalabad Iron Mine, Kerman Province of IRAN)

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